Artificial intelligence-generated targets and inter-observer variation in online adaptive radiotherapy of bladder cancer.

ABSTRACT:

Background and purpose

Daily target re-delineation in online adaptive radiotherapy (oART) introduces uncertainty. The aim of this study was to evaluate artificial intelligence (AI) generated contours and inter-observer target variation among radiotherapy technicians in cone-beam CT (CBCT) guided oART of bladder cancer.

Materials and methods

For each of 10 consecutive patients treated with oART for bladder cancer, one CBCT was randomly selected and retrospectively included. The bladder (CTV-T) was AI-segmented (CTV-T_AI). Seven radiotherapy technicians independently reviewed and edited CTV-T_AI, generating CTV-T_ADP. Contours were benchmarked against a ground truth contour (CTV-T_GT) delineated blindly from scratch. CTV-T_ADP

SUBMITTER: Astrom LM 

PROVIDER: S-EPMC11407955 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature